Background There is no current standardized approach to anticoagulation in patients with Coronavirus Disease 2019 (COVID-19) while potential bleeding risks remain. Our study characterizes the patterns of anticoagulation use in COVID-19 patients and the risk of related bleeding. Methods This is a single center retrospective analysis of 355 adult patients with confirmed diagnosis of COVID-19 from March 1 to May 31, 2020. Chi-square was used to analyze the relationship between degree of anticoagulant dose and bleeding events by site. Multivariable logistic regression was used to look at factors associated with inpatient death. Results 61% of patients were being treated with prophylactic doses of anticoagulation, while 7% and 29% were being treated with sub-therapeutic and therapeutic anticoagulation (TA) doses respectively. In 44% of patients, we found that the decision to escalate the dose of anticoagulation was based on laboratory values characterizing the severity of COVID-19 such as rising D-dimer levels. There were significantly higher rates of bleeding from non-CNS/non-GI sites (p = 0.039) and from any bleeding site overall (p = 0.019) with TA. TA was associated with significantly higher rates of inpatient death (41.6% vs 15.3% p < 0.0001) compared to those without. All patients who developed CNS hemorrhage died p = 0.011. After multivariable logistic regression, only age OR 1.04 95% CI (1.01 to 1.07) p = 0.008 and therapeutic anticoagulation was associated with inpatient mortality OR 6.16 95% CI (2.96 to 12.83) p ≤ 0.0001. Conclusion The use of TA was significantly associated with increased risk of bleeding. Bleeding in turn exhibited trends towards higher inpatient death among patients with COVID-19. These findings should be interpreted with caution and larger more controlled studies are needed to verify the net effects of anticoagulation in patients with COVID-19.

Introduction Bacterial coinfection is associated with poor outcomes in patients with viral pneumonia, but data on its role in the mortality of patients with COVID‐19 is limited. Methods This is a single‐center retrospective analysis of 242 patients with confirmed coronavirus disease 2019 (COVID‐19) admitted to both intensive care and non‐intensive care settings. Bacterial coinfection was determined by the presence of characteristic clinical features and positive culture results. Multivariable logistic regression was used to analyze the association of concomitant bacterial infection with inpatient death after adjusting for demographic factors and comorbidities. Antibiotic use pattern was also determined. Results Bacterial coinfection was detected in 46 (19%) patients. Genitourinary source was the most frequent, representing 57% of all coinfections. The overall mortality rate was 21%. Concomitant bacterial infections were independently associated with increased inpatient mortality (OR: 5.838; 95% CI: 2.647‐12.876). Patients with bacterial coinfection were relatively older (71.35±11.20 vs. 64.78±15.23; p 0.006%). 67% of patients received antibiotic therapy, yet 72% did not have an obvious source of bacterial infection. There was a significantly higher rate of inpatient mortality in patients who received antibiotics compared to those who did not (30% vs. 5%; p<0.0001). Conclusion Bacterial coinfection in COVID‐19 is associated with increased mortality. This article is protected by copyright. All rights reserved.

Introduction: Emerging data have described poor clinical outcomes from infection with the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV 2) among African American patients and those from underserved socioeconomic groups. We sought to describe the clinical characteristics and outcomes of acute kidney injury (AKI) in this special population. Methods: This is a retrospective study conducted in an underserved area with a predominance of African American patients with coronavirus disease 2019 (COVID-19). Descriptive statistics were used to characterize the sample population. The onset of AKI and relation to clinical outcomes were determined. Multivariate logistic regression was used to determine factors associated with AKI. Results: Nearly half (49.3%) of the patients with COVID-19 had AKI. Patients with AKI had a significantly lower baseline estimated glomerular filtration rate (eGFR) and higher FiO 2 requirement and D-dimer levels on admission. More subnephrotic proteinuria and microhematuria was seen in these patients, and the majority had a pre-renal urine electrolyte profile. Patients with hospital-acquired AKI (HA-AKI) as opposed to those with community-acquired AKI (CA-AKI) had higher rates of in-hospital death (52 vs. 23%, p = 0.005), need for vasopressors (42 vs. 25%, p = 0.024), and need for intubation (55 vs. 25%, p = 0.006). A history of heart failure was significantly associated with AKI after adjusting for baseline eGFR (OR 3.382, 95% CI 1.121-13.231, p = 0.032). Conclusion: We report a high burden of AKI among underserved COVID-19 patients with multiple comorbidities. Those who had HA-AKI had worse clinical outcomes compared to those who with CA-AKI. A history of heart failure is an independent predictor of AKI in patients with COVID-19.

Background There is limited information describing the characteristics and clinical outcomes of patients infected with coronavirus disease 2019 (COVID‐19) especially those in underserved urban area with minority population in the United States. Methods This is a retrospective single center study for patients who were admitted with COVID‐19 infection. Data collection was from March 1 through April 24,2020. Demographic, clinical, laboratory, and treatment data were presented using descriptive statistics and frequencies. Chi‐square test and multivariate logistic regression were used to determine association of risk factors and clinical outcomes. Results A total of 242 inpatients were included with a mean age of 66 ±14.75 (±SD). 50% were female and 70% were African American. Comorbidities included hypertension (74%), diabetes mellitus (49%), and 19% had either COPD or asthma. Older age was associated with higher risk of inpatient death OR 1.056 [95% CI 1.023 to 1.090; p=0.001]. Inpatient mortality occurred in 70% who needed mechanical ventilation (OR: 29.51; 95% CI: 13.28‐65.60; p<0.0001), 58% who required continuous renal replacement therapy/hemodialysis (CRRT/HD) (OR: 6.63; 95% CI: 2.74‐16.05; p<0.0001), and 69% who needed vasopressors (OR: 30.64; 95% CI: 13.56 to 69.20; p<0.0001). Amongst biomarkers of disease severity, only baseline CRP levels (145±116 mg/L) were associated with mortality OR 1.008 [95% CI 1.003 to 1.012; p=0.002]. Conclusion Majority of hospitalized patients had hypertension and diabetes. Older age was an independent risk factor for inpatient mortality. Requirement of mechanical ventilation, vasopressor use, and CRRT/HD were associated significantly with inpatient mortality. Higher baseline CRP was significantly associated with inpatient death. This article is protected by copyright. All rights reserved.

Introduction Recent studies have reported evidence that coronavirus disease 2019 (COVID-19) has disproportionately affected patients with underlying comorbidities. Our study aims to evaluate the impact of both cardiac and noncardiac comorbidities on a high-risk population with COVID-19 infection and coronary artery disease (CAD) compared to those without CAD. Methods This is a retrospective study of patients who tested COVID-19 positive via reverse transcriptase-PCR (RT-PCR) assay. We compared the characteristics and outcomes of patients with and without CAD. Population demographics, comorbidities and clinical outcomes were collected and analyzed. Multivariate logistic regression analysis was used to identify factors associated with inpatient mortality. Results A final sample population of 355 patients was identified, 77 of which had a known diagnosis of coronary artery disease. Our study population had a higher proportion of females, and those with CAD were significantly older. The rates of cardiovascular risk factors including hypertension, diabetes mellitus and chronic kidney disease, as well as heart failure and chronic obstructive pulmonary disease were significantly higher in the CAD population. Lactate dehydrogenase was the only inflammatory marker significantly lower in the CAD group, while troponin and brain natriuretic peptide were significantly higher in this population. Patients with CAD also had significantly higher inpatient mortality (31% vs 20%, P = 0.046) and need for renal replacement therapy (33% vs 11%, P < 0.0001) compared to the non-CAD group. However, only age [odds ratio 1.041 (1.017–1.066), P = 0.001] was significantly associated with mortality in the overall population after adjusting for demographics and comorbidities, while the presence of CAD was not independently associated with mortality. Conclusion Patients with CAD and COVID-19 have higher rates of comorbidities, inpatient mortality and need for renal replacement therapy compared to their non-CAD counterparts. However, CAD in itself was not associated with mortality after adjusting for other covariates, suggesting that other factors may play a larger role in the increased mortality and poor outcomes in these patients.

Aims Coronavirus disease 19 (COVID-19) has become a pandemic. Diabetic patients tend to have poorer outcomes and more severe disease (

Background: The use of angiotensin-converting enzyme inhibitors (ACEI) and angiotensin II receptor blockers (ARB) in patients with coronavirus disease 2019 (COVID-19) given their interaction with the angiotensin-converting enzyme-2 (ACE-2) receptor remains controversial.. Objective: To investigate the impact of ACEI/ARB on COVID-19 disease severity and mortality through a systematic review and meta-analysis. Methods: We searched PubMed and CINAHL databases as well as pre-print servers for studies investigating usage of ACEIs/ARBs in patients with COVID-19 compared to a control group of COVID-19 patients without ACEI/ARB use. COVID-19 related severity of disease, and death were identified as end points. Pooled odds ratios (OR) and their 95% confidence intervals (CI) were calculated using random-effects model. Results: 21 studies were included in the meta-analysis. For mortality with ACEI/ARB use, the pooled odds ratio was 1.29 [0.89-1.87] p = 0.18 with heterogeneity of 91%, while the pooled OR for COVID-19 severity was 0.94 [0.59-1.50] p = 0.81 with heterogeneity of 89% (Figure 2). In combining both mortality and severe disease outcomes, the pooled odds ratio was 1.09 [0.80-1.48] p = 0.58 but with heterogeneity of 92%. Expert Opinion: Even on pooled analysis of both un-adjusted data, adjusted data(studies with matched controls) and taking into account factors such as risk of bias of studies via meta regression and sensitivity analyses, the results hold true that ACEI/ARB use is not associated with COVID-19 disease severity or mortality. To look for any potential beneficial effects, randomized controlled trials are needed. Conclusion: use of ACEI/ARB was not associated with increased mortality or severe COVID-19.

The pandemic of coronavirus disease 2019 (COVID-19), the disease caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus that emerged in Wuhan, China, in December 2019, has led to significant mortality in hospitalized patients in most affected parts of the world. In the United States, New York emerged as the epicenter of the pandemic, with New Jersey following as the state with the greatest number of cases. 1 According to the Centers for Disease Control and Prevention (CDC), as of May 2020, in Pennsylvania, there have been more than 57 000 reported cases with the majority of cases in Philadelphia County, which has also seen more than 850 associated deaths. 2 Among patients who are hospitalized with COVID-19, disease severity also varies, with age and comorbidities associated but not fully accountable for poor outcomes. The pathophysiology of disease as well as the mechanisms